Structure‐dependent nitrogen transformation in hydrothermal liquefaction of amino acids

Abstract Hydrothermal liquefaction (HTL) offers a promising route for converting wet biomass into biocrude, yet nitrogen‐rich feedstocks like microalgae pose challenges due to nitrogen contamination. This study investigates how the structure of model amino acids—leucine (neutral), arginine (basic), and aspartic acid (acidic)—affects nitrogen migration during HTL. Nitrogen partitioning across product phases was quantified via orthogonal experiments and GC–MS, when degradation mechanisms were elucidated via Density Functional Theory (DFT) simulations. As shown by the experimental results, leucine achieved the highest biocrude yield (31.61%) with nitrogen retained as amides and diketopiperazines. Arginine yielded minimal oil (7.94%) and favored aqueous nitrogen‐heterocycles, while aspartic acid (29.53%) released nitrogen mainly into aqueous and gaseous phases via decarboxylation. DFT confirmed leucine follows two competing routes: DKP formation and oxidative cleavage yielding 2‐pyrrolidone. These findings reveal a structure‐reactivity‐distribution relationship linking amino acid functionality to nitrogen fate, offering guidance for feedstock selection and HTL optimization to enhance biocrude quality.

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Publication Details

Journal
AIChE Journal
Published
2025-09-16
DOI
https://doi.org/10.1002/aic.70086
Primary Topic
Subcritical and Supercritical Water Processes
Type
article
Field-Weighted Citation Impact
0.00
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article

Structure‐dependent nitrogen transformation in hydrothermal liquefaction of amino acids

Nianze Zhang, Yuanyuan Shao, Tianyi Bao, Jesse Zhu et al.
AIChE Journal
Subcritical and Supercritical Water Processes
article

Structure‐dependent nitrogen transformation in hydrothermal liquefaction of amino acids

Nianze Zhang, Yuanyuan Shao, Tianyi Bao, Jesse Zhu, Haiping Zhang
article en

Abstract

Abstract Hydrothermal liquefaction (HTL) offers a promising route for converting wet biomass into biocrude, yet nitrogen‐rich feedstocks like microalgae pose challenges due to nitrogen contamination. This study investigates how the structure of model amino acids—leucine (neutral), arginine (basic), and aspartic acid (acidic)—affects nitrogen migration during HTL. Nitrogen partitioning across product phases was quantified via orthogonal experiments and GC–MS, when degradation mechanisms were elucidated via Density Functional Theory (DFT) simulations. As shown by the experimental results, leucine achieved the highest biocrude yield (31.61%) with nitrogen retained as amides and diketopiperazines. Arginine yielded minimal oil (7.94%) and favored aqueous nitrogen‐heterocycles, while aspartic acid (29.53%) released nitrogen mainly into aqueous and gaseous phases via decarboxylation. DFT confirmed leucine follows two competing routes: DKP formation and oxidative cleavage yielding 2‐pyrrolidone. These findings reveal a structure‐reactivity‐distribution relationship linking amino acid functionality to nitrogen fate, offering guidance for feedstock selection and HTL optimization to enhance biocrude quality.

AIChE JournalVol. 71(12)
Western University (CA), University of Nottingham Ningbo China (CN), Guangdong University of Technology (CN), Tianjin University (CN)
Openalex Percentile: Top 76%
Subcritical and Supercritical Water Processes
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